Instructions to use documint/google-codegemma-2b-documint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use documint/google-codegemma-2b-documint with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/codegemma-2b") model = PeftModel.from_pretrained(base_model, "documint/google-codegemma-2b-documint") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from documint/google-codegemma-2b-documint: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/documint/google-codegemma-2b-documint/resolve/main/training_args.bin
- Command line
-
hf download hf://documint/google-codegemma-2b-documint/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/documint/google-codegemma-2b-documint/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- 586d79d61317e4ca90b8fb320155d6e1e22fece7b2376da6ae10a83cb8a58f4f
- Size of remote file:
- 4.92 kB
- SHA256:
- 60c5b2d612a40be18e0f45eff8da2c0214bc1b2900a42ab459d32a818ae624b2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.